----------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\Scott\Documents\1805 Roadmaps\Table A3.log
  log type:  text
 opened on:  13 Jun 2018, 16:01:38

. 
. set seed Xe92be875e2152bb79e03c8bf801175d600044df9

. 
. 
. probit vote_leemar ///
>      con con_D1 ///
>      vgd vgd_D1 ///
>      pty pty_D1 ///
>      psi psi_D1 ///
>      psp psp_D1 ///
>      , noconstant

Iteration 0:   log likelihood = -238.44263  
Iteration 1:   log likelihood = -201.92706  
Iteration 2:   log likelihood =  -201.0045  
Iteration 3:   log likelihood = -200.99463  
Iteration 4:   log likelihood = -200.99463  

Probit regression                                 Number of obs   =        344
                                                  Wald chi2(10)   =      59.85
Log likelihood = -200.99463                       Prob > chi2     =     0.0000

------------------------------------------------------------------------------
 vote_leemar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         con |  -.4616569    .192599    -2.40   0.017    -.8391439   -.0841698
      con_D1 |   .3651083   .2294296     1.59   0.112    -.0845654    .8147821
         vgd |   -.388268   .1888743    -2.06   0.040    -.7584548   -.0180812
      vgd_D1 |   .7988502    .226828     3.52   0.000     .3542756    1.243425
         pty |  -1.072817   .3140278    -3.42   0.001      -1.6883    -.457334
      pty_D1 |   1.264234   .3385943     3.73   0.000     .6006011    1.927866
         psi |  -.4707487   .1942017    -2.42   0.015    -.8513771   -.0901203
      psi_D1 |   .8369526   .2429285     3.45   0.001     .3608215    1.313084
         psp |  -.8362486   .2148324    -3.89   0.000    -1.257312   -.4151849
      psp_D1 |   .5795107   .2291338     2.53   0.011     .1304168    1.028605
------------------------------------------------------------------------------

. 
. tabstat d1 if e(sample), s(n mean sd min p25 p50 p75 max)

    variable |         N      mean        sd       min       p25       p50       p75       max
-------------+--------------------------------------------------------------------------------
          d1 |       344   .482125  .7398629    -1.848     .0415      .486     1.026     1.978
----------------------------------------------------------------------------------------------

. 
. 
. estsimp probit vote_leemar ///
>      con con_D1 ///
>      vgd vgd_D1 ///
>      pty pty_D1 ///
>      psi psi_D1 ///
>      psp psp_D1 ///
>      , noconstant

Iteration 0:   log likelihood = -238.44263
Iteration 1:   log likelihood = -202.68523
Iteration 2:   log likelihood = -201.07339
Iteration 3:   log likelihood = -200.99492
Iteration 4:   log likelihood = -200.99463

Probit regression                                 Number of obs   =        344
                                                  LR chi2(10)     =          .
Log likelihood = -200.99463                       Prob > chi2     =          .

------------------------------------------------------------------------------
 vote_leemar |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         con |  -.4616569    .192599    -2.40   0.017    -.8391439   -.0841698
      con_D1 |   .3651083   .2294296     1.59   0.112    -.0845654    .8147821
         vgd |   -.388268   .1888743    -2.06   0.040    -.7584548   -.0180812
      vgd_D1 |   .7988502    .226828     3.52   0.000     .3542756    1.243425
         pty |  -1.072817   .3140238    -3.42   0.001    -1.688293    -.457342
      pty_D1 |   1.264234   .3385902     3.73   0.000     .6006094    1.927858
         psi |  -.4707487   .1942017    -2.42   0.015    -.8513771   -.0901203
      psi_D1 |   .8369526   .2429285     3.45   0.001     .3608215    1.313084
         psp |  -.8362486   .2148324    -3.89   0.000    -1.257312   -.4151849
      psp_D1 |   .5795107   .2291338     2.53   0.011     .1304168    1.028605
------------------------------------------------------------------------------

Simulating main parameters.  Please wait....

Note: Clarify is expanding your dataset from 383 observations to 1000
observations in order to accommodate the simulations.  This will append
missing values to the bottom of your original dataset.

% of simulations completed: 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 

Number of simulations  : 1000
Names of new variables : b1 b2 b3 b4 b5 b6 b7 b8 b9 b10

. 
. 
. setx median

. setx con 1

. setx con_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         1         1     
   con_D1 |      .486        .486   
      psi |         0       median  
   psi_D1 |         0       median  
      psp |         0       median  
   psp_D1 |         0       median  
      pty |         0       median  
   pty_D1 |         0       median  
      vgd |         0       median  
   vgd_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6090403     .0612721     .4796101    .7215096
            Pr(vote_l~r=1) |   .3909597     .0612721     .2784903    .5203899

. 
. simqi, fd(prval(1) genpr(fd_con)) changex(con_D1 .0415 1.026)

First Difference: con_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1317918     .0855445    -.0369819    .2957505

Simqi generated the following new variable(s): fd_con

. 
. 
. setx con_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         1         1     
   con_D1 |         0         0     
      psi |         0       median  
   psi_D1 |         0       median  
      psp |         0       median  
   psp_D1 |         0       median  
      pty |         0       median  
   pty_D1 |         0       median  
      vgd |         0       median  
   vgd_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6716634     .0677586     .5330805    .7936087
            Pr(vote_l~r=1) |   .3283366     .0677586     .2063913    .4669195

. 
. simqi, fd(prval(1) genpr(tr_pty_con)) changex(con 1 0 pty 0 1)

First Difference: con 1 0 pty 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1782544     .0970504    -.3436014    .0376919

Simqi generated the following new variable(s): tr_pty_con

. simqi, fd(prval(1) genpr(tr_vgd_con)) changex(con 1 0 vgd 0 1)

First Difference: con 1 0 vgd 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0193363     .0962137    -.1736889    .2206877

Simqi generated the following new variable(s): tr_vgd_con

. simqi, fd(prval(1) genpr(tr_psi_con)) changex(con 1 0 psi 0 1)

First Difference: con 1 0 psi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0017698     .0957451     -.197484    .1867535

Simqi generated the following new variable(s): tr_psi_con

. simqi, fd(prval(1) genpr(tr_psp_con)) changex(con 1 0 psp 0 1)

First Difference: con 1 0 psp 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1205782     .0895902     -.285894    .0564601

Simqi generated the following new variable(s): tr_psp_con

. 
. 
. setx median

. setx vgd 1

. setx vgd_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         0       median  
   con_D1 |         0       median  
      psi |         0       median  
   psi_D1 |         0       median  
      psp |         0       median  
   psp_D1 |         0       median  
      pty |         0       median  
   pty_D1 |         0       median  
      vgd |         1         1     
   vgd_D1 |      .486        .486   
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5009467     .0616365     .3795706    .6198779
            Pr(vote_l~r=1) |   .4990533     .0616365     .3801221    .6204294

. 
. simqi, fd(prval(1) genpr(fd_vgd)) changex(vgd_D1 .0415 1.026)

First Difference: vgd_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3060028     .0805652     .1427968    .4657613

Simqi generated the following new variable(s): fd_vgd

. 
. 
. setx vgd_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         0       median  
   con_D1 |         0       median  
      psi |         0       median  
   psi_D1 |         0       median  
      psp |         0       median  
   psp_D1 |         0       median  
      pty |         0       median  
   pty_D1 |         0       median  
      vgd |         1         1     
   vgd_D1 |         0         0     
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6523271     .0679039     .5100996    .7759375
            Pr(vote_l~r=1) |   .3476729     .0679039     .2240625    .4899004

. 
. simqi, fd(prval(1) genpr(tr_pty_vgd)) changex(vgd 1 0 pty 0 1)

First Difference: vgd 1 0 pty 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1975908     .0972407    -.3612382    .0256099

Simqi generated the following new variable(s): tr_pty_vgd

. simqi, fd(prval(1) genpr(tr_psi_vgd)) changex(vgd 1 0 psi 0 1)

First Difference: vgd 1 0 psi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.0211061      .096032    -.2070328    .1801022

Simqi generated the following new variable(s): tr_psi_vgd

. simqi, fd(prval(1) genpr(tr_psp_vgd)) changex(vgd 1 0 psp 0 1)

First Difference: vgd 1 0 psp 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1399145     .0905174    -.3159421    .0437796

Simqi generated the following new variable(s): tr_psp_vgd

. 
. 
. setx median

. setx pty 1

. setx pty_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         0       median  
   con_D1 |         0       median  
      psi |         0       median  
   psi_D1 |         0       median  
      psp |         0       median  
   psp_D1 |         0       median  
      pty |         1         1     
   pty_D1 |      .486        .486   
      vgd |         0       median  
   vgd_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6746031      .069467     .5293826    .8007957
            Pr(vote_l~r=1) |   .3253969      .069467     .1992043    .4706174

. 
. simqi, fd(prval(1) genpr(fd_pty)) changex(pty_D1 .0415 1.026)

First Difference: pty_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .4279398      .099137     .2171118    .6067673

Simqi generated the following new variable(s): fd_pty

. 
. 
. setx pty_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         0       median  
   con_D1 |         0       median  
      psi |         0       median  
   psi_D1 |         0       median  
      psp |         0       median  
   psp_D1 |         0       median  
      pty |         1         1     
   pty_D1 |         0         0     
      vgd |         0       median  
   vgd_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .8499178     .0706986      .685621    .9523558
            Pr(vote_l~r=1) |   .1500822     .0706986     .0476442    .3143791

. 
. simqi, fd(prval(1) genpr(tr_psi_pty)) changex(pty 1 0 psi 0 1)

First Difference: pty 1 0 psi 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1764847     .0978261    -.0382509    .3573935

Simqi generated the following new variable(s): tr_psi_pty

. simqi, fd(prval(1) genpr(tr_psp_pty)) changex(pty 1 0 psp 0 1)

First Difference: pty 1 0 psp 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .0576762     .0943793    -.1602125    .2325633

Simqi generated the following new variable(s): tr_psp_pty

. 
. 
. setx median

. setx psi 1

. setx psi_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         0       median  
   con_D1 |         0       median  
      psi |         1         1     
   psi_D1 |      .486        .486   
      psp |         0       median  
   psp_D1 |         0       median  
      pty |         0       median  
   pty_D1 |         0       median  
      vgd |         0       median  
   vgd_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .5217529     .0579414     .4040539    .6375747
            Pr(vote_l~r=1) |   .4782471     .0579414     .3624253    .5959461

. 
. simqi, fd(prval(1) genpr(fd_psi)) changex(psi_D1 .0415 1.026)

First Difference: psi_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .3110953     .0847292     .1489159    .4743902

Simqi generated the following new variable(s): fd_psi

. 
. 
. setx psi_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         0       median  
   con_D1 |         0       median  
      psi |         1         1     
   psi_D1 |         0         0     
      psp |         0       median  
   psp_D1 |         0       median  
      pty |         0       median  
   pty_D1 |         0       median  
      vgd |         0       median  
   vgd_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .6734332      .067428     .5374918    .8012279
            Pr(vote_l~r=1) |   .3265668      .067428     .1987721    .4625082

. 
. simqi, fd(prval(1) genpr(tr_psp_psi)) changex(psi 1 0 psp 0 1)

First Difference: psi 1 0 psp 0 1

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |  -.1188084     .0888134    -.2840008    .0619584

Simqi generated the following new variable(s): tr_psp_psi

. 
. 
. setx median

. setx psp 1

. setx psp_D1 .486

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         0       median  
   con_D1 |         0       median  
      psi |         0       median  
   psi_D1 |         0       median  
      psp |         1         1     
   psp_D1 |      .486        .486   
      pty |         0       median  
   pty_D1 |         0       median  
      vgd |         0       median  
   vgd_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7079352     .0540006     .5945589    .8087097
            Pr(vote_l~r=1) |   .2920648     .0540006     .1912904    .4054411

. 
. simqi, fd(prval(1) genpr(fd_psp)) changex(psp_D1 .0415 1.026)

First Difference: psp_D1 .0415 1.026

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
         dPr(vote_l~r = 1) |   .1903655     .0735281     .0543925    .3315537

Simqi generated the following new variable(s): fd_psp

. 
. 
. setx psp_D1 0

. simqi, pr listx

You have set the following values for the explanatory variables:

------------------------------------
 Variable |    Value     Description
----------+-------------------------
      con |         0       median  
   con_D1 |         0       median  
      psi |         0       median  
   psi_D1 |         0       median  
      psp |         1         1     
   psp_D1 |         0         0     
      pty |         0       median  
   pty_D1 |         0       median  
      vgd |         0       median  
   vgd_D1 |         0       median  
------------------------------------


Quantities of interest based on those explanatory values:

      Quantity of Interest |     Mean       Std. Err.    [95% Conf. Interval]
---------------------------+--------------------------------------------------
            Pr(vote_l~r=0) |   .7922416     .0595894     .6617289    .8954561
            Pr(vote_l~r=1) |   .2077584     .0595894      .104544    .3382711

. 
. 
. * Difference in baseline probabilities
. 
. tabstat tr_vgd_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_vgd_con |  .0193363  .0962137 -.3121669 -.1358453  -.098614  .0213045  .1416704  .1752084   .338959
--------------------------------------------------------------------------------------------------------

. tabstat tr_pty_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_pty_con | -.1782544  .0970504 -.4807447 -.3293654 -.2996458 -.1843118 -.0550982  -.013504  .2236184
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psi_con | -.0017698  .0957451 -.2961334 -.1644151 -.1274512 -.0016038  .1221442  .1536815  .2574925
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psp_con | -.1205782  .0895902 -.3729033 -.2608928 -.2321564 -.1215437 -.0020507    .02386  .1484922
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_pty_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_pty_vgd | -.1975908  .0972407 -.4841309 -.3427867 -.3187933 -.2045707 -.0707612 -.0147947  .1528421
--------------------------------------------------------------------------------------------------------

. tabstat tr_psi_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psi_vgd | -.0211061   .096032 -.2926509 -.1781009 -.1455062 -.0202182  .1002262  .1365297  .3149449
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psp_vgd | -.1399145  .0905174 -.4566777 -.2887167 -.2500708 -.1392552 -.0251009  .0072978  .1522448
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_psi_pty, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psi_pty |  .1764847  .0978261 -.2086068  .0065153  .0554633  .1769493  .2948882  .3322814  .4941953
--------------------------------------------------------------------------------------------------------

. tabstat tr_psp_pty, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psp_pty |  .0576762  .0943793 -.2866303 -.1079885 -.0635869  .0640692  .1735961  .2003708  .3574033
--------------------------------------------------------------------------------------------------------

. 
. 
. tabstat tr_psp_psi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
  tr_psp_psi | -.1188084  .0888134 -.3805028 -.2600397 -.2291131 -.1203395 -.0034071  .0273488  .1848065
--------------------------------------------------------------------------------------------------------

. 
. 
. * Calculate difference in first differences
. 
. gen dif_vgd_con = fd_vgd - fd_con

. gen dif_pty_con = fd_pty - fd_con

. gen dif_psi_con = fd_psi - fd_con

. gen dif_psp_con = fd_psp - fd_con

. 
. tabstat dif_vgd_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_vgd_con |  .1742111   .114991 -.2406671 -.0131387  .0251425   .173868   .324262  .3648452  .5050614
--------------------------------------------------------------------------------------------------------

. tabstat dif_pty_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_pty_con |   .296148  .1313129 -.1096845  .0757292  .1268536  .2975804  .4684028   .519987  .6481135
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_con |  .1793035  .1197995 -.1946432 -.0164547  .0262938  .1782042  .3324092  .3724171  .5329973
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_con, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_con |  .0585737  .1122563 -.2736617 -.1243949 -.0892513  .0585416  .2005233  .2396129  .4230095
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_pty_vgd = fd_pty - fd_vgd

. gen dif_psi_vgd = fd_psi - fd_vgd

. gen dif_psp_vgd = fd_psp - fd_vgd

. 
. tabstat dif_pty_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_pty_vgd |  .1219369  .1242423 -.2816488 -.0815315 -.0382988  .1200062  .2873157  .3264459  .5126308
--------------------------------------------------------------------------------------------------------

. tabstat dif_psi_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_vgd |  .0050924  .1199589 -.3455922 -.1758601 -.1416556 -.0008766  .1561731  .2081905  .3693962
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_vgd, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_vgd | -.1156374  .1086724 -.4182514 -.2904762 -.2547839 -.1134353  .0247124  .0656817  .2508085
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_psi_pty = fd_psi - fd_pty

. gen dif_psp_pty = fd_psp - fd_pty

. 
. tabstat dif_psi_pty, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psi_pty | -.1168445  .1309235 -.5289648 -.3193848 -.2836458 -.1220848  .0497393  .0943614  .3508025
--------------------------------------------------------------------------------------------------------

. tabstat dif_psp_pty, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_pty | -.2375743  .1253402 -.5847193 -.4457708 -.3907889 -.2438639 -.0719048 -.0325461  .2063989
--------------------------------------------------------------------------------------------------------

. 
. 
. gen dif_psp_psi = fd_psp - fd_psi

. 
. tabstat dif_psp_psi, s(mean sd min p5 p10 p50 p90 p95 max)

    variable |      mean        sd       min        p5       p10       p50       p90       p95       max
-------------+------------------------------------------------------------------------------------------
 dif_psp_psi | -.1207298  .1107268 -.4437508 -.2941239 -.2609596 -.1187816  .0156862  .0484433  .2745731
--------------------------------------------------------------------------------------------------------

. 
. 
. drop b1-b10

. drop fd_con-dif_psp_psi

. 
. log close
      name:  <unnamed>
       log:  C:\Users\Scott\Documents\1805 Roadmaps\Table A3.log
  log type:  text
 closed on:  13 Jun 2018, 16:01:42
----------------------------------------------------------------------------------------------------------------------------
